---
title: "Untitled"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source: embed
---
```{r setup, include=FALSE}
library(tidyverse)
library(plotly)
library(p8105.datasets)
library(flexdashboard)
```
```{r}
data("nyc_airbnb")
nyc_airbnb =
nyc_airbnb |>
mutate(stars = review_scores_location / 2) |>
select(borough = neighbourhood_group,
neighbourhood, stars, price, room_type, lat, long) |>
drop_na(stars) |>
filter(
borough == "Manhattan",
room_type == "Entire home/apt",
price %in% 100:500
)
```
Column {data-width=650}
-----------------------------------------------------------------------
### Chart A
```{r}
nyc_airbnb |>
mutate(text_label = str_c("Price: $", price, "\nRating: ", stars)) |>
plot_ly(x = ~lat, y = ~long, color = ~price, text = ~text_label,
type = "scatter", mode = "markers", alpha = .5)
```
Column {data-width=350}
-----------------------------------------------------------------------
### Chart B
```{r}
nyc_airbnb |>
mutate(neighbourhood = fct_reorder(neighbourhood, price))|>
plot_ly(y = ~price, x=~neighbourhood, color = ~neighbourhood,
type = "box", colors = "viridis")
```
### Chart C
```{r}
nyc_airbnb |>
count(neighbourhood) |>
mutate(neighbourhood = fct_reorder(neighbourhood, n)) |>
plot_ly( x=~neighbourhood, y=~n, color = ~neighbourhood,
type = "bar", colors = "viridis")
```